Speech R&D Engineer
ValidSoft Limited - London, United Kingdom
Publiée il y a 17 jours
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ISCApad #206 |
| Thursday, August 20, 2015 by Chris Wellekens |
6 Jobs
| 6-1 | (2015-03-02) Language Resources Project Manager - Junior at ELDA-ELRA The European Language resources Distribution Agency (ELDA), a company specialized in Human Language Technologies within an international context, acting as the distribution agency of the European Language Resources Association (ELRA), is currently seeking to fill an immediate vacancy for a Language Resources Project Manager ? Junior position. This yields excellent opportunities for young, creative, and motivated candidates wishing to participate actively to the Language Engineering field.
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| 6-2 | (2015-03-03) Poste de maitre de conférence, ENNSAT, Lannion, France Un poste de MCF en 27ème section est à pourvoir à l?Enssat Lannion, Université de Rennes 1, au sein de l?IRISA dans le département Media et Interaction.
En particulier, une intégration dans l?équipe Expression de l?IRISA (http://www-expression.irisa.fr/) est possible. Cette équipe travaille sur la caractérisation, l?analyse et la génération de l?expressivité dans la parole, le texte et le geste. Le groupe parole, situé à Lannion, se focalise sur :
- le traitement de la parole,
- le traitement du langage naturel,
- la synthèse de parole expressive.
Voici le lien vers la fiche de poste :
Info qui n?est dans la fiche : une décharge d?enseignement est habituellement accordée aux primo-recructés.
Contacts:
Damien Lolive (damien.lolive@irisa.fr)
Vincent Barreaud (vincent.barreaud@irisa.fr)
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| 6-3 | (2015-03-04) Deux postes de Maître de Conférences en informatique, Avignon, France Deux postes de Maître de Conférences en informatique (section 27) sont mis au concours
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| 6-4 | (2015-03-10) Post doc grant at INESC, Lisbon, INESC, Portugal One post-doc grant is now available in project INSIDE: Intelligent Networked Robot Systems for Symbiotic Interaction with Children with Impaired Development. The project is a collaboration between Carnegie Mellon University, INESC-ID, Instituto Superior Técnico, Universidade Nova de Lisboa, Hospital Garcia de Orta, and three Portuguese companies (IDMind, VoiceInteraction and Plux). The project explores symbiotic child-robot interactions in joint cooperative activities, with application to the treatment of children with Autism Spectrum Disorder impairments. The grantee is expected to contribute in implementation and research tasks related to speech processing in environmentally challenging conditions and with limited adaptation data available.
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| 6-5 | (2015-03-12) Stage (Internship) at ELDA: Développement d'un outil générique d'annotation des ressources linguistiques Descriptif
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| 6-6 | (2015-03-13) Postdocs in Robust Speaker Verification, Aalborg University, Denmark Postdocs in Robust Speaker Verification, Aalborg University, Denmark
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| 6-7 | (2015-03-26) Chargé(e) de recherche en séparation de signaux de parole appliquée à la robotique, IRCAM, Paris L’Ircam recrute pour son département Recherche et Développement, Un(e) chargé(e) de recherche en séparation de signaux de parole appliquée à la robotique en contrat à durée déterminée à temps plein de 11 mois (prolongation d’un mois possible) à compter de mai 2015 Présentation de l'IRCAM L’IRCAM est une association à but non lucratif, associée au Centre national d'art et de culture Georges Pompidou, dont les missions comprennent des activités de recherche, de création et de pédagogie autour de la musique du XXème siècle et de ses relations avec les sciences et technologies. Au sein de son département R&D et de son UMR 9912 STMS commune à l’Ircam, à l’Université Pierre et Marie Curie (UPMC) et au CNRS, des équipes spécialisées mènent des travaux de recherche et de développement informatique dans les domaines de l'acoustique, du traitement des signaux sonores, des technologies d’interaction, de l’informatique musicale et de la musicologie. L'IRCAM est situé au centre de Paris à proximité du Centre Georges Pompidou au 1, Place Stravinsky 75004 Paris. Présentation de l'ISIR L'Institut des Systèmes Intelligents et de Robotique (ISIR) est un laboratoire de recherche pluridisciplinaire qui rassemble des chercheurs et enseignants-chercheurs relevant de différentes disciplines des Sciences de l’Ingénieur et de l’Information ainsi que des Sciences du Vivant. L’ISIR est une Unité Mixte de Recherche (UMR7222) commune à l’Université Pierre et Marie Curie (UPMC) et au Centre National de la Recherche Scientifique (CNRS). L'ISIR est rattaché d’une part à la faculté d’Ingénierie de l’UPMC (UFR 919) et d’autre part à l’Institut des Sciences de l'Information et de leurs Interactions (INS2I) du CNRS. L’Institut national de la santé et de la recherche médicale (INSERM) est également tutelle de l'une de ses équipes, l’Equipe de recherche labellisée (ERL) U1150. Introduction au projet ROUTE Le projet ROUTE se positionne dans le cadre d'une collaboration entre l'Institut de Recherche et Coordination Acoustique Musique (IRCAM) et l’Institut des Systèmes Intelligents et de Robotique (ISIR). Le cadre scientifique du projet est l’analyse automatique de scène sonore pour l’écoute artificielle d’un robot et l’interaction homme/robot. L’objectif scientifique du projet est de spécifier un formalisme de décomposition non-négative d’un signal audio pour la détection et la localisation d’un locuteur dans une scène sonore binaurale. Le système devra permettre à un robot de détecter la présence et la position d’un locuteur dans un environnement sonore bruité (bruit interne du robot et bruit externe de la scène sonore). L’objectif applicatif du projet est d’améliorer l’écoute artificielle d’un robot pour l’interaction homme/robot (identification de locuteur, reconnaissance de parole, etc…). Missions Le/la chercheur/se recruté/e sera en charge de l'extension d’un système d’analyse automatique de scène sonore pour la détection et la localisation de locuteur dans un contexte de captation sonore binaurale. Il/elle sera en charge de la réalisation d’un système de détection et de localisation robuste au sein d’un environnement sonore bruité (bruit interne du robot et bruit externe de la scène sonore). Il/elle participera à l’élaboration d’un scénario d’usage réaliste, et à toutes les activités liées au projet (spécifications, réunions, expérimentations, évaluations, production des rapports). Profil recherché - Excellente connaissance et expérience de décomposition non-négative, particulièrement dans le cas multicanal. Une thèse dans le domaine est fortement souhaitée. - Excellente connaissance en traitement du signal (analyse spectrale, extraction de descripteurs audio, estimation de paramètres) - Fort intérêt pour la robotique et l'interaction homme/robot. - Excellente connaissance du langage Matlab, expérience du langage Python (NumPY/SciPY), compétences de programmation en C/C++. - Bonne connaissance des environnements Linux, et/ou Mac OS X. - Productivité élevée, capacité de travailler de façon méthodique et autonome, excellent style de programmation, créativité, bonnes aptitudes en communication, rigueur. Salaire Selon profil et expérience professionnelle. Candidatures Prière d'envoyer une lettre de motivation et un CV détaillant le niveau d'expérience/expertise dans les domaines mentionnés ci-dessus (ainsi que tout autre information pertinente) avant le 15 avril 2015 à roebel_at_ircam_dot_fr Researcher (M/W) in speech separation applied to robotics (Emergence project: ROUTE) Availability: early May 2015 Duration: 11 months (possible extension to 12 months) Introduction to IRCAM IRCAM is a non-profit organization that is associated to the Centre Pompidou (Centre national d’art et de culture Georges Pompidou). Its missions comprise research, production, and education related to contemporary music and its relation to science and technology. Within the R&D department specialized teams are conducting research and development in the areas of acoustics, sound signal processing, interaction, computer music and musicology. IRCAM is located in the centre of Paris near the Centre Pompidou, at 1, Place Igor Stravinsky 75004 Paris. Introduction to ISIR The Institute for Intelligent Systems and Robotics (ISIR) is a multidisciplinary research laboratory that brings together researchers and academics from different disciplines of Engineering Sciences and Information and the Life Sciences. ISIR is a joint research laboratory between the Université Pierre et Marie Curie (UPMC) and the Centre National de la Recherche Scientifique (CNRS). Introduction to ROUTE project ROUTE is a collaborative program directed by the Analysis/Synthesis team at IRCAM and ISIR. The program is focused on the automatic analysis of an acoustic scene, based on a non-negative decomposition of a multi channel recording of the scene. This research problem is closely related to several applications in sound processing (e.g. source separation, CASA); and it is becoming as well an important problem for many applications emerging from the fields of robotics and artificial audition (e.g. guide robots, older adults monitoring, and the general study of human/robot interaction). The principal aim of the project is to evaluate recent advances in non-negative signal decomposition for detecting and localizing a speaker in a binaural acoustic scene: this study shall allow a robot to identify speech in a background noise, and localise the speaker's position. Position description The hired researcher will be in charge of the extension of the existing analysis system to speaker detection and to binaural capture. He/she will realize a study on the impact of the noise made by the robot on the performance of the system. He/she will participate to the elaboration of a simplified realistic test, and to the evaluation of the results, as well as to all activities related to the project (evaluations, meetings, specifications, reports). Required Experiences and Skills - Excellent knowledge and experience with non negative signal decomposition, especially from multi-channel audio. A PhD in this domain will be highly appreciated. - Excellent knowledge and experience in audio signal processing (spectral analysis, audio-feature extraction, parameter estimation) - High interest in robotics and human/robot interaction - Very proficient in Matlab, experience with Python (NumPY/SciPY), skills in C/C++ programming. - Good knowledge of Linux, and/or Mac OS X. - High productivity, capacity for methodical and autonomous work, creativity, good communication skills, rigor, and excellent programming style. Salary According to professional experience. Applications Please send an application letter before 15th April 2015 together with your resume and any suitable information addressing the above issues preferably by email to: roebel_at_ircam_dot_fr
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| 6-8 | (2015-03-29) Post-doc in Experimental Psycholinguistics, University of Geneva, Switzerland Post-doc Announcement: 1 year position in Experimental Psycholinguistics, University of Geneva
Job description: The post is associated with a project funded by the Swiss National Science Foundation (SNSF) entitled: ?All speakers are listeners, and vice versa: On the interface between production and comprehension processes?. The objective of the post-doctoral project is to examine the nature of the phonological information used in spoken word production and recognition tasks, using behavioral, acoustic and EEG measurements. There are no teaching obligations associated with the position. Requirements:The candidate must hold a PhD degree in Linguistics, Psychology or related field. We seek applications from candidates with a strong background in Experimental psycholinguistics or phonetics. Native or close to native knowledge of French as well as good knowledge of English are desirable. Prior experience with EEG studies is a plus. Starting date: 15 May 2015 (to be discussed) Deadline for application: 15 April 2015 Please send applications (motivation letter, CV, list of publications and research statement, letter of reference) by email to Audrey Bürki (Audrey.buerki@unige.ch). Applications received by April 15, 2015 will receive full consideration. The position is open until filled. For further information, contact Audrey.buerki@unige.ch
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| 6-9 | (2015-03-28) Speech R&D Engineer, ValidSoft Limited - London, United Kingdom
Ceci est un aperçu du poste de Speech R&D Engineer chez ValidSoft Limited. Inscrivez-vous sur LinkedIn pour voir l’annonce complète, c’est gratuit !Inscrivez-vous sur LinkedIn, c’est gratuit ! À propos de ce posteDescriptif du posteValidSoft is seeking an innovative and ambitious Research and Development Engineer to help build the products that will drive the future of transaction security and next generation voice biometrics technology.
You will have a solid background in speech technology and machine learning as well as experience in understanding and participating in the software delivery lifecycle, while now seeking to further your career by developing great products that deliver exceptional user experience. This role, within our speech research and development team and located in the heart of London, is tasked with the development of ValidSoft’s core voice biometrics products that meet our client’s business need.
Duties and Responsibilities
Design, develop and support software features for our market leading voice biometrics technologies, products and solutions.
Work with Operations & Product Management to understand the requirements, plan and estimate work packages and deliver to schedule.
In a broader sense we want you to:
Compétences et expérience souhaitéesWe are seeking an individual with an extreme “can-do” attitude, a willingness to learn and take on cross-functional tasks, take ownership of assigned projects and be an important team contributor.
Importantly, you will have the willingness to join a fast moving, fast growing international company like ValidSoft, with the associated frenetic and energetic levels of the environment and a-typical type of colleagues, within a highly skilled, motivated and fun loving company with a great team spirit.
Specific skills:
Desired skills:
We will only be accepting applications from applicants currently resident within the European Union and with an unrestricted right to work in the UK. À propos de cette entrepriseValidSoft LimitedValidSoft (www.validsoft.com, part of Elephant Talk Communications (OTCBB: ETAK) provides strong transaction security that is incredibly simple for the user. Built around voice biometrics, our multifactor authentication solution protects Online, Mobile, Card and Telephone transactions. We work in Financial Services, government and business automation. Companies that choose to work with ValidSoft see strong security and great user experience as key to business success.
ValidSoft's technology has been recognised by respected analyst firms like Forrester, Gartner, Opus and Ovum.
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| 6-10 | (2015-03-29) Post-doctoral Position (24 months) University of Michigan Post-doctoral Position (24 months) University of Michigan Predicting Individual Outcomes for Rapid Interventions (PRIORI) Context: Bipolar disorder (BP) is a common and severe psychiatric illness characterized by pathological swings of mania and depression and is associated with devastating personal, social, and vocational consequences (suicide occurs in up to 20% of cases [1]). Bipolar disorder is among the leading causes of disability worldwide [2]. The cost in the United States alone was estimated at $45 billion annually [3]. These economic and human costs, along with the rapidly increasing price of health care provide the impetus for a major paradigm shift in health care service delivery, namely to monitor and prioritize care with a focus on prevention. In this project we focus on how to using mobile health technologies to automatically track mood variation in populations with BP. We have a large collection of ecologically recorded smartphone calls, now numbering over 22,000, and are investigating how to characterize mood in these data. Overview of Position: The candidate will have the opportunity to analyze spoken data from individuals with bipolar disorder, collected over the period of six months to a year. Our goal is to predict mood states from natural speech. Significant opportunities exist in machine learning, speech processing, user personalization, and health-centered computing. We are currently processing our massive ecologically valid set of speech data from individuals with bipolar disorder to uncover the acoustic characteristics of speech that will allow us to intuit mood state (manic, depressed, euthymic) and mood state change. The candidate will interact with an established team including experts in affective processing (Emily Mower Provost), reinforcement learning (Satinder Singh), and psychiatry (Melvin McInnis). We are seeking postdoctoral candidates with experience in machine learning, speech processing , and human-centered computing. Keywords: Machine learning, speech processing, and human-centered computing. Prerequisite: PhD degree in computer science, signal processing, or machine learning. Strong knowledge in programming languages and database management are desired. To apply: Interested applicants should email their CV, a cover letter outlining their experience and research background, two references, and their two-three most relevant papers to Emily Mower Provost (emilykmp@umich.edu). References: [1] Frederick K Goodwin and Kay Redfield Jamison, Manic-depressive illness: bipolar disorders and recurrent depression, vol. 1, Oxford University Press, 2007. [2] Alan D Lopez, Colin D Mathers, Majid Ezzati, Dean T Jamison, and Christopher JL Murray, “Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data,” The Lancet, vol. 367, no. 9524, pp. 1747–1757, 2006. [3] Leah S Kleinman, Ana Lowin, Emuella Flood, Gian Gandhi, Eric Edgell, and Dennis A Revicki, “Costs of bipolar disorder,” Pharmacoeconomics, vol. 21, no. 9, pp. 601–622, 2003.
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| 6-11 | (2015-04-01) Post-Doctoral Researcher/Early Stage Researcher (PhD Student), University of Eastern Finland, Joensuu Campus
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| 6-12 | (2015-04-01) Senior Researcher, University of Eastern Finland, Joensuu Campus
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| 6-13 | (2015-04-02) PhD grant on 'Efforts and coordination of speech gestures' at GIPSA, Grenoble, France Efforts and coordination of speech gestures Disciplines: Acoustic phonetics, Biomechanics, Physiology, Cognition Laboratory: GIPSA-lab, Grenoble Supervision: Maëva Garnier, Pascal Perrier, Franck Quaine Duration: 3 years (starting between Sept and Dec 2014) Contact: maeva.garnier@gipsa-lab.grenoble-inp.fr / +33 4 76 57 50 61 Context: This Ph.D thesis takes part to the ANR project StopNCo, dealing with the characterization and understanding of the physiological efforts and the gesture coordination in speech production1. Stop consonants (/p/, /t/, /k/, /b/, /d/ or /g/) are of particular interest for the study of speech motor control, as they require a precise coordination of breathing, laryngeal and articulatory gestures in their force and timing. General questions: Stop consonants are created by an occlusion of the vocal tract that can occur at 3 different “places of articulation” in French: at lips (for /p/ and /b/), just behind the teeth (for /t/ and /d/) or at the back of the palate (for /k/ and /g/) (see Figure). The release of this occlusion creates a short explosion noise (or “burst”) and a quick variation in frequency of the vocal tract resonances (“formant transients”). These acoustic features differ significantly between the 3 places of articulation The objectives of the project are to characterize and to model: 1. by which coordination of breathing and articulatory gestures we control the finer variation of these acoustic cues (burst spectrum and formant transients)? 2. how these cues are modified when speakers speak more clearly and try to enhance the perceptual contrast between these 3 places of articulation? 3. how this control develops in children and can dysfunction in some of them? 4. how this control can vary in efficiency, i.e. in the ratio between the acoustic outcomes and the physiological efforts? Program: The first step of the project will consist in implementing new methodologies to measure lip and tongue articulation efforts, using surface electromyography (EMG), force sensors and electromagnetic articulography (EMA) (see next figure). 1 see http://www.agence-nationale-recherche.fr/en/anr-funded-project/?tx_lwmsuivibilan_pi2%5BCODE%5D=ANR-14-CE30- 0017 Multiple EMG electrodes will be placed around the lips to characterize the muscle activity in different speech movements and to find global descriptors of the degree of articulation effort and fatigue. Force sensors will be used, searching their optimal number and position on the lips and palate. We will also try to characterize the tongue and lips stiffness in order to take account of it in the calibration of the force measurements. Finally, the articulation force estimated by these two methodologies will be confronted to the velocity peaks of tongue and lip movements measured with EMA, as well as to the perceptual selfevaluation of the effort spent by the subject. The Ph.D thesis will base on these methodologies to characterize the coordination of breathing, laryngeal and articulatory gestures in the production of stop consonants in healthy adult speakers. A large database will be recorded with synchronous physiological and acoustical signals, on several speakers, in controlled laboratory conditions, and for a variety of voice qualities and efforts (whisper to shout, slow to fast speech rate, etc.). Using statistical data processing and mapping techniques, you will establish a functional model able to predict the variation of acoustical outcomes from the covariation of physiological parameters. In a second step, a second experiment will be conducted in a more realistic and interactive situation of face-to-face communication. You will explore how speakers modify their production of stop consonants when they communicate in noisy or reverberant environments, and how they consequently modify the coordination and the effort of their speech gestures, in comparison to casual speech. Collaborations The project will take place at GIPSA-lab in Grenoble, under the co-supervision of Maëva Garnier (Expert in speech and cognition), Pascal Perrier (Expert in Speech motor control) and Franck Quaine (Expert in biomechanics and EMG signals), in close relationship with the medical field (a dentist and a maxillofacial surgeon). The Ph.D thesis will belong to a larger project, involving a second team that works on laryngeal efforts (including a ENT specialist), and a third team working on the development of this coordination in children (including speech therapists from Grenoble’s hospital). These two teams will use the methodologies developed during the beginning of the Ph.D. thesis, and will bring complementary information to the functional model of stop consonants production. During the Ph.D. thesis, we envisage to send the Ph.D candidate for about 3 months in Italy for a collaboration on high-density EMG matrices. Skills: We are looking for an open-minded student, coming from either an engineering background (electronics, mechanics, acoustics) or a human sciences background (phonetics, cognitive sciences), but having in any case at least some basic technical skills (programming, signal and data processing) and a strong interest in human-related questions (physiology, speech, human interaction). An experimental approach will be appreciated. Indemnities: 1400 € per month during the 3 years of Ph.D fellowship. The Ph.D candidate will be able to have additional teaching activies.
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| 6-14 | (2015-04-08) Junior Computational Linguist at RecordSure London UK Role: Junior Computational Linguist About RecordSure RecordSure builds leading global, first tomarket products for the compliance auditing of Financial Services conversations. RecordSure was formed in 2012 and is a ‘sister company’ of The Consulting Consortium, the UK’s leading independent consultancy providing compliance services to the financial services sector, both nationally and globally. Primarily privately funded, both The Consulting Consortium and RecordSure are also inpart owned by the Business Growth Fund, backed by Barclays, HSBC, Lloyds, RBS and Standard Chartered banks. Our Culture We are a dynamic start up, who, although still relatively small, have gained significant traction at board level in many of the world’s largest financial service institutions. Passionate about technology, we love solving hard problems; and as individuals we are each as eager to learn as we are to help each other to do so. RecordSure is committed to safeguarding our Client Data and our Intellectual Property and expects all staff to share this commitment. The Role RecordSure requires a Junior Computational Linguist to join our Language Science Team working on cuttingedge textanalytics and machine learning solutions in order to enhance the RecordSure platform. The role includes a very close collaboration with the Speech and Data science teams, as well as with the development team and would suit a recent graduate. The role revolves around building, refining and maintaining a knowledge base of speech within the finance industry and requires a candidate who has experience working with lexical databases. Experience in Artificial Intelligence, Machine Learning, and Information Extraction is desired, but not required. Basic programming skills are essential. Responsibilities: ● Building and maintaining a lexical database ● Working alongside the development team to build tools for database management ● Extracting, adapting and evaluating domain specific terminologies ● Be aware of the company processes relating to ISO 27001 and maintain an awareness of the importance of secure handling of Client data and RecordSure Intellectual Property ● Comply with internal policies, in particular raising any concerns over security issues Your Attributes You’re an intelligent, enthusiastic and highly motivated handson candidate with a solid base in coding. You are driven by: ● Learning about new technologies every day ● Solving challenging problems ● Quality people in your team
The Candidate
● BSc/MSc degree or equivalent in Computational Linguistics, Computer Science or related discipline
● Experience in corpus building
● Experience in phonetic transcriptions and localization process
● Experience using scripting languages for manipulation of data e.g. Shell, Python Contact: ibrahim.almajai@recordsure.com
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| 6-15 | (2015-04-13) These de doctorat à Nancy, France Une offre de thèse de doctorat est disponible dans l'équipe Synalp à Nancy sur l'analyse sémantique de Twitter:
Contact: cerisara@loria.fr
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| 6-16 | (2015-04-14) Thèse de doctorat à IRISA Lannion Bretagne France Une offre de thèse de doctorat (3 ans, à partir d?octobre 2015) est disponible dans l'équipe EXPRESSION de l?IRISA à Lannion sur la détection multimodale d?anormalité dans le discours : utilisation de la voix et des expressions faciales. Date limite de candidature : URGENT, le 4 mai 2015
Plus de détails : le sujet (en Anglais)
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| 6-17 | (2015-04-16) Assistant Professor in Socially Aware ICT at KTH, Stockholm, Sweden
Assistant Professor in Socially Aware ICT KTH – Royal Institute of Technology invites applications for a tenure-track faculty appointment in Socially Aware ICT at the rank of Assistant Professor. We seek individuals with outstanding potential for research achievement, and a strong interest and commitment to undergraduate and graduate teaching. We seek candidates that can add to or extend the current research areas at KTH with more emphasis being put on excellence than on candidates’ specific area of expertise. The position comes with a significant start package that will allow the successful candidate to quickly establish their own research group. KTH carries out a wide range of internationally renowned research related to Socially Aware ICT. Research groups working in social robotics, computer vision, speech technology and human–computer interaction, comprise part of the School of Computer Science and Communication. For more information about the school, see www.kth.se/csc Research groups in technology in caring sciences and health systems engineering comprise part of the School of Technology and Health. For more information about the school, see www.kth.se/sth For further information and details on application procedure see www.kth.se/applytoassistantprofessor Application deadline is May 29, 2015. Applicants having earned their PhD no later than May 2008 will be given priority. The term of appointment is expected to begin around November 2015, or later depending on availability. Contacts: Prof Danica Kragic, Head of Centre for Autonomous systems, danik@csc.kth.se Prof Joakim Gustafson, Head of department of Speech, Music and Hearing, jocke@speech.kth.se Prof Britt Östlund, School of Technology and Health, brittost@kth.se Ass Prof Hedvig Kjellström, Head of the Computer Vision and Active Perception Lab, hedvig@csc.kth.se Prof Kia Höök, Head of MobileLife, khook@kth.se Prof Roberto Bresin, Department of Media Technology and Interaction Design, oberto@kth.se
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| 6-18 | (2015-04-21) Postdoc position at Aix-Marseille University (France) Postdoc position at Aix-Marseille University (France) in opinion
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| 6-19 | (2015-04-22) PhD position offer at LIA Univ. d'Avignon, France Sujet : Espaces de représentation sémantique distribues pour les tâches de traduction automatique (compréhension et génération de la parole) dans les systèmes d'interaction vocale
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| 6-20 | (2015-04-27) TWO POST-DOCTORAL POSITIONS FOR THE PROJECT IFCASL (LORIA, NANCY, FRANCE)
TWO POST-DOCTORAL POSITIONS FOR THE PROJECT IFCASL (LORIA, NANCY, FRANCE)
The objective is to offer
A corpus of German recorded by French learners and a second of French recorded by German learners will be exploited to determine errors on the one hand, and to develop algorithms involved in feedback on the other hand.
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| 6-21 | (2015-04-29) PhD Position, IRISA lab, University of Rennes 1 at Lannion, Côtes d’Armor, France PhD Position IRISA lab, University of Rennes 1 at Lannion, Côtes d’Armor Expression Team http://www-expression.irisa.fr/ Subject: multimodal detection of abnormality in discourse: using voice and facial expressions Application: URGENT Please send a CV and reference letters by e-mail to all the following contacts: Arnaud Delhay (arnaud.delhay@irisa.fr), Pierre-François Marteau (pierre-francois.marteau@irisa.fr) and Damien Lolive (damien.lolive@irisa.fr) BEFORE the 4th of May 2015. The thesis will be co-funded by the DGA (French Defence ministry). The candidate must have the nationality of a country of the European Union or of Switzerland. S/he must hold a Master degree (or equivalent) in computer science. The candidate is expected to conduct cutting-edge applied research in one or several of the following domains: signal processing, statistical machine learning, speech and gesture recognition. S/he should have excellent computer programming skills (e.g. C/C++, Python/Perl, etc.), and possibly knowledge in machine learning, signal processing or human computer interaction. Duration: 3 years Date: October 2015 – September 2018 This PhD, proposed by the EXPRESSION team at IRISA, will address the detection of abnormality from facial movements and speech signals of a human being in a situation of stress. We mean by ‘abnormality’ existence of foreign elements to a normal situation in a given context. The study will focus in particular on the joint use of facial and vocal expression parameters to detect abnormal variations of expressivity in speech, not only related to emotion, but also to social interactions and psychological signals. These abnormal signals can appear in extreme stress situations for pilots or vehicle drivers, for example. This study could also find applications in the medical field, e.g., detection of abnormal behaviors due to mental disabilities such as autism. We aimed at developing a system capable of detecting abnormal behaviors by the analysis of records of concrete situations. The thesis will then explore several issues including the followings: • Collect, segment and annotate multimodal data; • Identification of descriptors enabling the description of abnormality; • Development of dedicated machine learning approaches for abnormality detection; • Development of a decision system. Keywords: Speech, facial expressivity, gesture analysis, heterogeneous information, machine learning, classification IRISA/MID/EXPRESSION 2/2 Bibliography: [1] Carlos Busso, Zhigang Deng, Serdar Yildirim, Murtaza Bulut, Chul Min Lee, Abe Kazemzadeh, Sungbok Lee, Ulrich Neumann, and Shrikanth Narayanan. Analysis of emotion recognition using facial expressions, speech and multimodal information. In Proceedings of the 6th international conference on Multimodal interfaces, pages 205–211. ACM, 2004. [2] B. Fasel and Juergen Luettin. Automatic facial expression analysis : a survey. Pattern Recognition, 36(1) :259 – 275, 2003. [3] Wesley Mattheyses and Werner Verhelst. Audiovisual speech synthesis : An overview of the state-of-the-art. Speech Communication, 66(0) :182 – 217, 2015. [4] Marie Tahon. Acoustic analysis of speakers emotional voices during a human-robot interaction. Theses, Université Paris Sud - Paris XI, November 2012. [5] Mariette Soury. Multimodal stress detection for remediation software design. Theses, Université Paris Sud - Paris XI, October 2014. [6] Soujanya Poria, Erik Cambria, Amir Hussain, and Guang-Bin Huang. Towards an intelligent framework for multimodal affective data analysis. Neural Networks, 63(0) :104 – 116, 2015. [7] D Govind and SR Mahadeva Prasanna. Expressive speech synthesis : a review. International Journal of Speech Technology, pages 1–24, 2013. [8] Marc Le Tallec, Jeanne Villaneau, Jean-Yves Antoine, Agata Savary, and Arielle Syssau- Vaccarella. Emologus - a compositional model of emotion detection based on the propositionnal content of spoken utterances. In Text, Speech and Dialogue, Proc., Brno, Czech Republic, 2010.
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| 6-22 | (2015-04-30) Post-doc position at LORIA (Nancy, France)
Post-doc position at LORIA (Nancy, France) Automatic speech recognition: Deep Neural Network for language model Framework of ANR project ContNomina The technologies involved in information retrieval in large audio/video databases are often based on the analysis of large, but closed, corpora, and on machine learning techniques and statistical modeling of the written and spoken language. The effectiveness of these approaches is now widely acknowledged, but they nevertheless have major flaws, particularly for what concern proper names, that are crucial for the interpretation of the content. In the context of diachronic data (data which change over time) new proper names appear constantly requiring dynamic updates of the lexicons and language models used by the speech recognition system. As a result, the ANR project ContNomina (2013-2017) focuses on the problem of proper names in automatic audio processing systems by exploiting in the most efficient way the context of the processed documents. To do this, the post-doc student will address the contextualization of the recognition module through the dynamic adjustment of the language model in order to make it more accurate. Post-doc subject Deep Neural Network have become a key component of modern automatic speech recognition systems. The language model of our recognition system is based on a neural network learned from a large corpus of text. The problem is to estimate the probability of a new proper name depending on its context. Several tracks will be explored: adapting the language model, using a class model or studying the notion of analogy. Our team has developed a fully automatic system for speech recognition to transcribe a radio broadcast from the corresponding audio file. The post-doc will develop a new module whose function is to integrate new proper names in the language model. Required skills A PhD in signal processing or in computer sciences, be familiar with the tools for automatic speech recognition, background in statistics and computer program skills (C, object-oriented programming and Perl). Post-doc duration: 12 months, start during the 2015 (these is some flexibility) Localization and contacts: Loria laboratory, Speech team, Nancy, France irina.illina@loria.frdominique.fohr@loria.fr georges.linares@univ-avignon.fr Candidates should email a letter of application, a detailed CV with a list of publications and diploma
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| 6-23 | (2015-05-02) Post-doctoral Position in Speech Signal Processing at Reykjavik University, Iceland Post-doctoral Position in Speech Signal Processing The School of Science and Engineering at Reykjavik University invites applications for a 1 to 2 year post-doctoral position in the area of speech signal processing. The position is available from summer 2015 or as soon as possible thereafter. The main responsibility of the research will be to lead the scientific work in the Icelandic Research Fund (IRF) Project “Model-Based Speech Analysis and Voice Quality Assessment.” Other responsibilities will include mentoring graduate students and participating in the further development of speech signal processing within the university. About the project: The project aims to combine non-linear signal analysis methods with model-based signal processing. The immediate aim is to produce a rich description of the speech signal with respect to voice quality, event markings and signal states. This creates a foundation for a targeted modeling of speech so that linguistic content, speaker identity, voice quality and affect can be determined. The applicant is expected to implement and develop state-of-the-art signal processing and machine learning algorithms, using for example Matlab, Python and Kaldi. Research environment: The project is carried out at the Center for Design and Analysis of Intelligent Agents (CADIA) and it is expected that 1-3 graduate students will be working on parts of the project as well. The center offers a broad range of skills and knowledge in speech- and language-related areas spanning cognitive psychology, virtual environments, general artificial intelligence and automatic speech recognition. Examples of related research projects within the center include IRF-Projects “Cognitive Workload Monitoring using Speech” and “Virtual Reykjavik” and two industry projects on automatic speech recognition. We expect: • a PhD degree in signal processing, machine learning or related fields. Candidates about to earn their doctorate are welcome to apply. • advanced methodological skills: handling data, processing signals and building prototype software • high motivation and interest in joining a cutting-edge speech signal processing group • creativity and interest shaping your own research project • high-level interpersonal skills, including strong commitment to teamwork • very good communication skills in English We offer: • top-level research facilities in a dynamic and collegiate intellectual environment • a comprehensive mentoring programme with supervision by world-leading academics • a salary package range from ISK 4.400.000 – 5.100.000 per year gross salary plus relocation expences. There is also a travel fund available for conference activities. • A position based in Reykjavik, located between North America and Europe with excellent flight connections, a growing innovation and technology sector, as well as vibrant culture scene. How to apply: Electronic applications, including a cover letter, a CV and the details of two referees, should be sent to dr. Jon Gudnason (email: jg@ru.is)
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| 6-24 | (2015-05-03) 4 Ph Positions at Queen Mary, University of London, UK/ Fondazione Bruno Kessler, Trento, Italy PhD thesis: Audio-visual intelligent sensing Queen Mary, university To start Applications are invited for 4 (four) PhD Studentships to undertake research in the areas of computer vision and audio processing for people monitoring in multi-camera multi-microphone environments, and will be part of an interdisciplinary project on audio-visual monitoring for smart interactive and reactive environments. The Studentships (to be started The Project will focus on methods for long-term people tracking, activity Each PhD student will spend approximatively 50% of their time in London and 50% of their PhD time in Trento and will have access to state-of-the-art audio-visual laboratories, including a multi-camera multi-microphone installation More information on the call can be found at http://www.jobs.ac.uk/job/AKZ561/phd-studentships-in-audio-visual-intelligent-sensing For what concerns activities
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| 6-25 | (2015-05-04) Speech Technology Researcher at Toshiba Research Europe Ltd, Cambridge UK Toshiba Research Europe Ltd, UK Laboratory Speech Technology Researcher job Toshiba Research Europe Ltd (STG-CRL), in Cambridge UK, is looking for researchers to join its Speech Technology Group for a) Acoustic modelling for speech recognition (primarily) and synthesis b) statistical spoken dialogue. Outstanding PhD-level candidates at a good level of experience are encouraged to apply About us The lab in Cambridge, in collaboration with other Toshiba groups and speech laboratories in China and Japan, covers all aspects of speech technology and at many levels: from basic and fundamental research to industrial development. We support our researchers in building their career by encourage them to publish their results and by investing Salary We offer competitive salary and benefit packages with private pension plan, bonuses
Opening Date 05/05/2015
Closing Date 05/06/2015
How to apply To apply send your CV and a cover letter to: stg-jobs at crl dot toshiba dot co dot uk, subject: “Application to Researcher Position”
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| 6-26 | (2015-05-05) PhD position at the Sigmedia Group, Trinity College, Dublin The Sigmedia Group (www.sigmedia.tv) at Trinity College Dublin, Ireland, has a PhD position in speech processing available for Sept 2015. The topic is paralinguistics, specifically applying signal processing to the measurement of speaker engagement. Full details are here: http://adaptcentre.ie/careers/PhD-capturing-speaker-engagement-with-audio-visual-signal-processing.html
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| 6-27 | (2015-05-06) Assistant professor position at KTH Stockholm, Sweden
Speech Communication with specialization in phonetically-based interaction analysis KTH Royal Institute of Technology, KTH computer KTH Royal Institute of Technology in Stockholm is the largest and oldest technical university in Sweden. No less than one-third of Sweden’s technical research and engineering education Your work will take place at the department of Speech, Music and Hearing. The department is an internationally recognized research lab in speech technology and modelling of spoken communication. Speech research is focused on human-like communication with machines and robots, based on multimodal information. The research area is truly multi-disciplinary bridging computer science, machine learning, linguistics, and perception and cognition disciplines. The research is based on data-driven methods: collection and refinement Subject field Speech Communication with specialization in phonetically-based interaction analysis Subject description Speech Communication concerns the study of human communication involving speech, in which other signals such as facial and bodily movements also are of great importance. The field includes theories, models and technical systems concerning all parts of the communication chain. Central research topics in the specialization towards phonetic interaction analysis include experimental design and execution of data collections; phonetic, prosodic and multimodal analysis; and modelling of the interactional aspects of spoken dialogue. Duties The duties involve research and teaching as a part of the Speech Group at Dept. of Speech, Music and Hearing (TMH) at the School of Computer Science and Communication (CSC). The teaching includes advanced courses, master thesis and PhD supervision. The teaching will not exceed 25 %. The assistant professor will be given opportunity to develop their independence as researcher and gain accreditation that may allow them to take other teaching positions with higher eligibility requirements (see Chapter 4, Section 12 a of the Higher Education Ordinance). Following application, the assistant professor shall be assessed for promotion to associate professor. Qualifications Eligibility A person is eligible for appointment if they have attained a Degree of Doctor or have the equivalent academic expertise. Primarily, persons should have attained a Degree of Doctor or have acquired the equivalent expertise no more than seven years before the end of the application period. Grounds of assessment Special importance Scientific and technical skills within the subject area, documented by publications in international journals and main conferences in the area are of special importance. Documented ability to advance the field through independent scientific research on a high international level is also of special importance. Significant importance Ability to establish and develop international cooperations within research and education is of significant importance, as is the applicant’s documented experience of teaching in the subject field and related areas at advanced level. The applicant's long-term potential to develop and establish an independent research activity Of importance It is of importance that a person who is appointed as assistant professor at KTH has experience from research environments other than KTH, equivalent to a post-doctorate period or doctorate degree from another university. Documented experience from initiating and executing externally financed Also taken into account Ability to collaborate with the surrounding society and to disseminate information regarding research and development work will also be taken into account. In addition, the applicant's expertise in developing and leading activities Special grounds of assessment for promotion to associate professor When assessing applications for promotion to associate professor, the applicant's ability to independently initiate and carry out research of high academic quality, published in international publications, and the applicant's ability to obtain financing trade You'll find contact information to trade Application Your application should follow KTH´s CV template for employment of teachers. You are the main responsible to ensure that the application is complete according to the ad and CV template. Your complete application must be received at KTH no later than the last day of application. Log into KTH's recruitment system in order to apply to this position. Others Time limitation: The appointment is for an indefinite term, but no more than four years, and may be extended if, due to the teacher’s absence due to sick leave, parental leave or other special grounds, more time is required to reach the objectives of the appointment. However, the total appointment period may not exceed six years. The appointment is part of the Tenure Track system at KTH and the assistant professor may apply for promotion to tenured associate professor. We firmly decline all contact with staffing and recruitment agencies and job ad salespersons. Type of employment: Temporary position longer than 6 months Working hours: Full time First day of employment: According to agreement Salary: Monthly pay. According to agreement. Number of positions: 1 Working hours: 100% City: Stockholm County: Stockholms län Country: Sweden Reference number: D-2015-0149 Contact: 1. Joakim Gustafson, Professor TMH, +46 (0) 8 790 8965, jkgu@csc.kth.se 2. Maria Widlund, HR-manager CSC, +46 (0) 8 790 9754, mwidlund@kth.se 3. Kerstin Lagerstedt, queries application procedures, +46 (0) 8-790 7879, human-resources@csc.kth.se Last application date: 15.Jun.2015
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| 6-28 | (2015-05-06) 3 Ph.D. and 2 Post-doc positions at Autonomous University of Zacatecas, Mexico. 3 Ph.D. and 2 Post-doc positions at Autonomous University of Zacatecas, Mexico. On the topic of Automatic Speech Recognition and Speech Synthesis for autochthonous Mexican languages. mailto:hamurabigr@uaz.edu.mx (http://piitec.uaz.edu.mx/)
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| 6-29 | (2015-05-09) ingénieur R&D spécialiste des technologies à l'équipe LINKMEDIA de l'IRISA, Rennes, Bretagne, France L'équipe LINKMEDIA de l'IRISA recherche un ingénieur R&D spécialiste des technologies
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| 6-30 | (2015-05-12) 3 postes d'ATER au département d?Informatique, Mathématiques et de Linguistique appliquées, Univ Paris 1 (Sorbonne), France Trois postes d'ATER en informatique sont disponibles à l'UFR de Sociologie et d'Informatique pour les Sciences Humaines de l'Université Paris Sorbonne avec le profil 'traitement de la parole et du langage'. Les candidats enseigneront l?Informatique dans les différentes formations de licence et de master du département d?Informatique, Mathématiques et de Linguistique appliquées. Ils devront s'inscrire dans un ou plusieurs axes de l'équipe de linguistique computationnelle du laboratoire Sens Texte Informatique et Histoire (STIH)(www.stih.paris-sorbonne.fr/)
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| 6-31 | (2015-06-01) PhD Research Fellow at Gipsa, Grenoble, France PhD Research Fellow Speech Production and Swallowing with Full Dental Prosthesis (May 28th, 2015) Context A position as PhD Research fellow is available in the PCMD (« Perception, Contrôle, Multimodalité et Dynamiques de la parole ») research team in that GIPSA-Lab. This PhD is part of a research project involving researchers from two different labs, Gipsa-lab in Grenoble and the LMI in Lyon. It is funded by the Région Rhône-Alpes for 3 years from next fall, in the context of the research program ARC2 focusing on Quality of Life in the Elderly. Scientific goals The general objective of the thesis is to thoroughly study in patients the mechanical interactions between a full dental prosthesis and the tongue during speech production and swallowing, and to understand how it influences the control of these basic orofacial motor tasks and its evolution over time. The work will be organized around three main tasks: (1) The characterization of the mechanical stress exerted by the tongue on the dental prosthesis, with a special focus on its amplitude, its spatial distribution and its variation across patients. (2) The study of the variation of the mechanical stress during the first weeks following the insertion of the dental prosthesis in the patient’s mouth, during which a motor adaptation takes place. (3) The longitudinal study over years of the evolution of the mechanical stress and of the potential links between this evolution and the emergence of speech production deficits and /or swallowing diseases. The measure of the mechanical stress will use the original device elaborated at Gipsa-lab (Jeannin et al., 2008) (see opposite figure). This device consists in 12 strain-gauge sensors inserted in an exact replicate of the dental prosthesis and distributed over the whole surface of the prosthesis. The strain-gauge sensors have been specifically developed for this purpose and the whole electronic setup matches the safety regulation for an insertion in a patient’s mouth. Its insertion within the dental prosthesis enables that it is not detectable by the patient. Thus, its presence does not provide by itself a perturbation of the motor task. Only the wires getting out from the mouth corner are likely to induce a perturbation.. With this experimental study, we’d like to establish how patients adapt to the presence of the prosthesis in their mouth, and how it can lead to the emergence of new, potentially pathological, motor control strategies of speech production and swallowing. We make the hypothesis that this adaptation could involve at least two different stages along which problems can emerge: (1) the elaboration in the brain of an internal representation (a so-called internal model) of the oro-facial motor system including the prosthesis, which memorizes the new links between motor commands, oro-sensory feedback and accuracy of the achievement of the motor task (Wolpert et al., 1998); (2) the evolution of the motor strategies on the basis of this new internal model. In line with studies of speech production in cochlear implanted patients carried out by Perkell et al (2000), it can be expected that the decrease of the accuracy of the afferent information due the presence of the prosthesis could induce a difficulty in the maintenance of the internal models and, consequently, a decrease in the accuracy of the motor task. The ultimate goal of the study is (1) via the establishment of a map of the contacts and their intensity between the tongue and the prosthesis, to provide useful information for the design of prostheses and of their insertion in the patient’ mouth, and (2) via the behavioral study of patients, to contribute to the design of adapted training and reeducation protocols. References Jeannin, C., Perrier, P., Payan, Y., Dittmar, A., & Grosgogeat, B. (2008). Tongue pressure recordings during speech using complete denture. Materials Science and Engineering C; 28, 835-841. Perkell, J. S., Guenther, F. H., Lane, H., … & Zandipour, M. (2000). A theory of speech motor control and supporting data from speakers with normal hearing and with profound hearing loss. Journal of Phonetics, 28(3), 233–272. Wolpert, D., Miall, R. C., and Kawato, M. (1998). Internal models in the cerebellum. Trends in Cognitive Sciences, 2(9), 338– 347. Skills Taste for experimental work. Ability to deal with patients and elderly people. Statistical analysis of behavioral data. Interest for cognitive sciences in general and learning issues in particular. Salary: According to French standards (about 1400 € net/month) How to apply? In order to apply, interested candidates should send from now their application (CV, transcript of results, motivation letter and at least one reference) to: Christophe.Jeannin@univ-lyon1.fr Brigitte.Grosgogeat@univ-lyon1.fr Pascal.Perrier@gipsa-lab.grenoble-inp.fr If more information is needed, do not hesitate to contact us.
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| 6-32 | (2015-06-01) Post-doc , Orange Labs, Lannion, Brittany, France La mise au point de services facilitant l’accès aux contenus de la Connaissance constitue l’un des axes de recherche portés par Orange Labs Research. L'objet du postdoc est d'étudier la structuration automatique de contenus dans ce domaine (conférences, documentaires, entretiens, émissions de radio ou TV spécialisées, …).
La structuration thématique de contenus est un sujet d’étude actif depuis un certain nombre d’années dans la communauté scientifique. Le sujet a été plus largement traité dans le cadre de la segmentation thématique de journaux télévisés mais également pour des contenus de nature différente comme des réunions ou des cours magistraux (lecture topic segmentation). Dans le cas de la segmentation thématique de contenus de type 'journaux télévisés', les sujets consécutifs sont le plus souvent suffisamment différenciés pour que les techniques basées sur la cohésion lexicale permettent d'obtenir de bons résultats. Le matériau de base pour cette segmentation, à savoir la transcription automatique du contenu, est par ailleurs le plus souvent de bonne qualité, du fait des bonnes performances des systèmes de transcription qui ont été largement optimisés dans la communauté parole sur des contenus de ce type.
Les contenus étudiés dans le cadre de ce post-doc (conférences, documentaires, entretiens) ont la particularité d'être globalement monothématiques, potentiellement longs comme dans le cas des conférences, et potentiellement très spécialisés. L'adaptation de la segmentation thématique à la segmentation en sous-thème pour ce type de contenus constitue le principal objectif du travail.
Plusieurs questions scientifiques devront être abordées : * Au-delà de la cohésion lexicale entre les mots pris individuellement, il s'agira de s'attacher à la cohésion lexicale entre les mots en contexte (dans le cas d'une conférence sur le cerveau, le terme cortex pourra apparaître à plusieurs moment alors que les contextes 'cortex visuel', 'cortex frontal' seront peut-être plus discriminants pour la structuration). La question est alors de trouver une définition appropriée du contexte. * En amont de la structuration, comment enrichir la couverture lexicale pour le traitement automatique de documents spécialisés? * Lors du processus de structuration, comment tirer profit d'une base de connaissance structurée, de relations sémantiques? Comment définir et exploiter des mesures d’association distributionnelles ? * Comment proposer une organisation hiérarchique des sous-thèmes afin de proposer une structuration de type 'plan' des documents?
Les résultats du post-doc permettront d’alimenter des travaux de recherche autour d’interfaces innovantes de navigation dans les contenus de la Connaissance.
Le candidat devra être titulaire d’un doctorat en informatique, spécialisé en traitement de la parole, traitement du langage ou en recherche d’information.
Le postdoc se déroulera à Lannion pour une période de 12 mois et doit débuter en 2015. Le candidat est recruté en CDD, avec une rémunération allant de 35 à 38 keuros brut annuel. Les contraintes de recrutement en CDD imposent que le candidat n’ait pas réalisé plus d’un postdoc préalablement à la candidature.
Contact Géraldine Damnati : geraldine.damnati@orange.com
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| 6-33 | (2015-06-01) Post-doc position at LORIA (Nancy, France) Post-doc position at LORIA (Nancy, France) Automatic speech recognition: Deep Neural Network for language model Framework of ANR project ContNomina The technologies involved in information retrieval in large audio/video databases are often based on the analysis of large, but closed, corpora, and on machine learning techniques and statistical modeling of the written and spoken language. The effectiveness of these approaches is now widely acknowledged, but they nevertheless have major flaws, particularly for what concern proper names, that are crucial for the interpretation of the content. In the context of diachronic data (data which change over time) new proper names appear constantly requiring dynamic updates of the lexicons and language models used by the speech recognition system. As a result, the ANR project ContNomina (2013-2017) focuses on the problem of proper names in automatic audio processing systems by exploiting in the most efficient way the context of the processed documents. To do this, the post-doc student will address the contextualization of the recognition module through the dynamic adjustment of the language model in order to make it more accurate. Post-doc subject Deep Neural Network have become a key component of modern automatic speech recognition systems. The language model of our recognition system is based on a neural network learned from a large corpus of text. The problem is to estimate the probability of a new proper name depending on its context. Several tracks will be explored: adapting the language model, using a class model or studying the notion of analogy. Our team has developed a fully automatic system for speech recognition to transcribe a radio broadcast from the corresponding audio file. The post-doc will develop a new module whose function is to integrate new proper names in the language model. Required skills A PhD in signal processing or in computer sciences, be familiar with the tools for automatic speech recognition, background in statistics and computer program skills (??C, object-oriented programming and Perl). Post-doc duration: 12 months, start during the 2015 (these is some flexibility) Localization and contacts: Loria laboratory, Speech team, Nancy, France irina.illina@loria.frdominique.fohr@loria.fr georges.linares@univ-avignon.fr Candidates should email a letter of application, a detailed CV with a list of publications and diploma
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| 6-34 | (2015-06-01) 2 postdocs en sciences du language/linguistique/psychologie à CNRS, Aix Marseille, France Recrutement de 2 postdocs en sciences du language/linguistique/psychologie
Institution : Laboratoire Parole et Langage (CNRS, Aix-Marseille Université) Nombre de postes : 2 Durée : 2 ans (voir ci-dessous) Date limite de reception des candidatures : 1 juin 2015
Le Laboratoire Parole et Langage, Unité Mixte de Recherche entre le CNRS et Aix-Marseille Université, associé au LABEX « Brain and Language Research Institute (BRLI) » ouvre un appel à candidature pour 2 postes « post-doctoraux », financés par la fondation A*MIDEX . Le projet vise à étudier la relation entre des variables sociales et les représentations linguistiques et cherche à développer un modèle cognitif qui prenne en compte les effets d?identité sociale sur la perception et la production de la parole. Le projet combinera l?expérimentation (production, perception, potentiels évoqués), l?analyse des corpus et les modèles computationnels. Le candidat fera partie intégrale de l?équipe interdisciplinaire du BLRI, qui implique des chercheurs en linguistique, psychologie, neurosciences, et informatique. Le projet se focalise sur les aspects prosodiques et intentionnels de la communication, de telle sorte qu?une expérience dans ces domaines sera un atout. Par ailleurs, les candidats qui auront des compétences dans l?un ou plusieurs domaines mentionnés ci-dessous seront prioritaires : - Sociolinguistique (quantitative) - Approche stochastique/probabiliste de la théorie linguistique - Psychologie/psycholinguistique de mémoire (surtout encodage et recouvrement) - Phonologie de laboratoire - Linguistique expérimentale Le poste sera financé pour une durée de 24 mois au maximum en fonction de la date du début du contrat. Le candidat aura obtenu sa thèse avant le début du contrat. La date du début du contrat est flexible mais le poste devra être pourvu avant le 1 octobre 2015. Les demandes peuvent être soumises en français ou en anglais, par courriel à Jessica Bouanane (responsable administrative) E-mail : jessica.bouanane@univ-amu.fr. Pour plus de renseignements veuillez contacter James Sneed German (investigateur principal); E-Mail : james.german@lpl-aix.fr.
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| 6-35 | (2015-06-01) Master’s, PhD, and Postdoc Openings at the MuSAE Lab in Montreal, Canada Master’s, PhD, and Postdoc Openings at the MuSAE Lab in Montreal, Canada The Multimedia Signal Analysis and Enhancement (MuSAE) Lab has openings at the graduate and post-graduate levels to work in the area of non-intrusive objective speech quality measurement of enhanced speech. Particular interest is placed on microphone array processed speech. The recruited researcher(s) will work closely with national and international industry (e.g., Google) and academic partners. Candidates should have strong knowledge in at least two of the following topics: speech signal processing, single- and multi-channel speech enhancement, subjective/objective speech quality assessment, psychoacoustics, and pattern recognition (eg, deep learning). Hands-on experience with commercial microphone arrays, as well as with speech data collection in noisy and reverberant environments will be considered as great assets. Interested candidates should send their transcripts (unofficial copies), up-to-date CV's, and relevant publications to Dr. Tiago Falk (falk [at] emt [dot] inrs [dot] ca). Please note that only short-listed candidates will be contacted for an interview. Moreover, postdoctoral candidates will be expected to have a strong publication record in reputable journals and conference proceedings. The MuSAE Lab is located at the Institut National de la Recherche Scientifique (INRS-EMT), University of Quebec, in Montreal, Canada – a bilingual (English/French) city renowned for its great pool of ethnic diversity and its vibrant cosmopolitan ambiance. INRS has consistently ranked as a top-3 Canadian university in the category ‘Research Intensity and publications’ and houses several state-of-the-art research facilities. More detail about the MuSAE Lab and its research team can be found at: http://musaelab.ca.
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| 6-36 | (2015-06-02) PhD Research Fellow at GIPSA Grenoble, France PhD Research Fellow Speech Production and Swallowing with Full Dental Prosthesis (May 28th, 2015) Context A position as PhD Research fellow is available in the PCMD (« Perception, Contrôle, Multimodalité et Dynamiques de la parole ») research team in that GIPSA-Lab. This PhD is part of a research project involving researchers from two different labs, Gipsa-lab in Grenoble and the LMI in Lyon. It is funded by the Région Rhône-Alpes for 3 years from next fall, in the context of the research program ARC2 focusing on Quality of Life in the Elderly. Scientific goals The general objective of the thesis is to thoroughly study in patients the mechanical interactions between a full dental prosthesis and the tongue during speech production and swallowing, and to understand how it influences the control of these basic orofacial motor tasks and its evolution over time. The work will be organized around three main tasks: (1) The characterization of the mechanical stress exerted by the tongue on the dental prosthesis, with a special focus on its amplitude, its spatial distribution and its variation across patients. (2) The study of the variation of the mechanical stress during the first weeks following the insertion of the dental prosthesis in the patient’s mouth, during which a motor adaptation takes place. (3) The longitudinal study over years of the evolution of the mechanical stress and of the potential links between this evolution and the emergence of speech production deficits and /or swallowing diseases. The measure of the mechanical stress will use the original device elaborated at Gipsa-lab (Jeannin et al., 2008) (see opposite figure). This device consists in 12 strain-gauge sensors inserted in an exact replicate of the dental prosthesis and distributed over the whole surface of the prosthesis. The strain-gauge sensors have been specifically developed for this purpose and the whole electronic setup matches the safety regulation for an insertion in a patient’s mouth. Its insertion within the dental prosthesis enables that it is not detectable by the patient. Thus, its presence does not provide by itself a perturbation of the motor task. Only the wires getting out from the mouth corner are likely to induce a perturbation.. With this experimental study, we’d like to establish how patients adapt to the presence of the prosthesis in their mouth, and how it can lead to the emergence of new, potentially pathological, motor control strategies of speech production and swallowing. We make the hypothesis that this adaptation could involve at least two different stages along which problems can emerge: (1) the elaboration in the brain of an internal representation (a so-called internal model) of the oro-facial motor system including the prosthesis, which memorizes the new links between motor commands, oro-sensory feedback and accuracy of the achievement of the motor task (Wolpert et al., 1998); (2) the evolution of the motor strategies on the basis of this new internal model. In line with studies of speech production in cochlear implanted patients carried out by Perkell et al (2000), it can be expected that the decrease of the accuracy of the afferent information due the presence of the prosthesis could induce a difficulty in the maintenance of the internal models and, consequently, a decrease in the accuracy of the motor task. The ultimate goal of the study is (1) via the establishment of a map of the contacts and their intensity between the tongue and the prosthesis, to provide useful information for the design of prostheses and of their insertion in the patient’ mouth, and (2) via the behavioral study of patients, to contribute to the design of adapted training and reeducation protocols. References Jeannin, C., Perrier, P., Payan, Y., Dittmar, A., & Grosgogeat, B. (2008). Tongue pressure recordings during speech using complete denture. Materials Science and Engineering C; 28, 835-841. Perkell, J. S., Guenther, F. H., Lane, H., … & Zandipour, M. (2000). A theory of speech motor control and supporting data from speakers with normal hearing and with profound hearing loss. Journal of Phonetics, 28(3), 233–272. Wolpert, D., Miall, R. C., and Kawato, M. (1998). Internal models in the cerebellum. Trends in Cognitive Sciences, 2(9), 338– 347. Skills Taste for experimental work. Ability to deal with patients and elderly people. Statistical analysis of behavioral data. Interest for cognitive sciences in general and learning issues in particular. Salary: According to French standards (about 1400 € net/month) How to apply? In order to apply, interested candidates should send from now their application (CV, transcript of results, motivation letter and at least one reference) to: Christophe.Jeannin@univ-lyon1.fr Brigitte.Grosgogeat@univ-lyon1.fr Pascal.Perrier@gipsa-lab.grenoble-inp.fr If more information is needed, do not hesitate to contact us.
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| 6-37 | (2015-06-03) Fully funded PhD position, LIA, Avignon, France Object: Fully funded PhD position - CS Lab (LIA) of the University of Avignon, France ? User models for the automatic monitoring of social networks
A PhD position is available at the LIA (computer science laboratory of the University of Avignon, France), in collaboration with the software company Nectar de Code (https://www.nectardecode.com), starting from October 2015.
Title: User models for the automatic monitoring of social networks
Keywords: machine learning, modeling, natural language processing, networka analysis
Description: http://lia.univ-avignon.fr/fileadmin/documents//Users/Intranet/chercheurs/Labo_Commun/CD2015/Sujet3.pdf (in French, contact us for more details in English)
Laboratory: LIA (http://lia.univ-avignon.fr/)
Advisors: Georges Linarès (georges.linares@univ-avignon.fr), Richard Dufour (richard.dufour@univ-avignon.fr), Vincent Labatut (vincent.labatut@univ-avignon.fr)
Founding: Provence region (public structure), Nectar de Code (software company)
Conditions: the candidate must be less than 30 years old
Starting date: October 2015
Contacts: georges.linares@univ-avignon.fr, vincent.labatut@univ-avignon.fr, richard.dufour@univ-avignon.fr
Required files: send the following files to all three advisors: CV + topic-related motivation letter + grade transcripts for both Master years (or equivalent)
Application deadline: 9th of june 2015 (note the very short delay, beyond our control)
Summary:
In the recent years, the interactive aspects of the Internet became increasingly important, transforming it into the main support for free communication between potentially very different persons. This led to considerable scientific and societal issues related to the supervision of Web-based social interactions. Indeed, in order to work correctly, open communication spaces need to be monitored, which is a difficult task. Without any moderation, such a service can be hijacked, or end up hosting negative behaviors decreasing the service quality, or even illegal activities. One could argue the absence of any control actually contributed to the development of such open spaces on the Web, however the absence of any moderation could also dramatically limit their interest. Human-operated moderation is often costly, and even economically unfeasible; creating automatic monitoring methods for such large-scale textual interactions is consequently of the highest interest. We propose to develop an approach focused on users, and to evaluate it on the specific case of a social networking service. Tackling this problem involves designing models of the users? behavior, and defining methods to estimate these statistical models. The general framework of this PhD topic is social networks analysis.
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| 6-38 | (2015-06-11) Ingenieur d'études a l'université d'Aix-Marseille, France INTITULE DU POSTE : Ingénieur en techniques expérimentales Catégorie : Ingénieur d?étude Service/Composante : UFR Arts, Lettres, Langues et Sciences Humaines (ALLSH) Localisation du poste : Maison de la recherche BAP : C Emploi type : Ingénieur en techniques expérimentales Date de vacance du poste : 01/09/2015 Quotité : 100 % Date limite de candidature : 26 juin 2015
CONTEXTE La maison de la recherche de l?UFR ALLSH se situe dans un bâtiment neuf de 4 500 m2 destiné à l?accueil d?unités de recherche en Arts, Lettres, Langues et Sciences Humaines (9 Equipes d?Accueil : PSYCLE, LPS, LPCLS, LERMA, CIELAM, CAER, IHP, ECHANGES, LESA et deux Unités Mixtes de Recherche : IRASIA, CEPERC), des Écoles Doctorales en Lettres Sciences Humaines (ED 354&356) et du service des Presses Universitaires. Les locaux de recherche ont été organisés pour être spatialement cohérents, fonctionnels et équipés selon les besoins et spécificités des Unités, pour un développement optimal et une visibilité accrue de la recherche sur ce secteur scientifique. Le poste d?ingénieur en techniques expérimentales s?insère dans un ensemble de services mutualisés et créés spécifiquement à l?occasion de l?ouverture de la Maison de la Recherche. L?Ingénieur en techniques expérimentales en soutien scientifique et technique à la recherche au sein des laboratoires sus mentionnés viendra en appui au fonctionnement des plateformes scientifiques de la Maison de la Recherche : les salles d?expérimentation et d?observation en psychologie et le studio d?enregistrement mais également aux équipements de recherche mobiles. Cet appui permettra d?impulser de nouveaux programmes innovants de recherche.
MISSIONS ET ACTIVITES PRINCIPALES : Procéder aux montages, réglages, et essais d?appareils ou de montages expérimentaux. Mettre au point les dispositifs expérimentaux ; définir, développer, tester et formaliser les protocoles. Concevoir les adaptations et les améliorations de tout ou partie d?un dispositif expérimental. Coordonner l?exploitation du dispositif. Formation à la technique et à l?utilisation des dispositifs expérimentaux ; conseil aux utilisateurs pour leur mise en oeuvre dans le respect des normes d?utilisation. Rédiger les documents de spécifications techniques, de conception et de réalisation et les manuels utilisateurs associés aux dispositifs expérimentaux. Assurer le bon déroulement de l?expérimentation. Participer à la valorisation des technologies des plateformes. Suivre les évolutions des techniques expérimentales et se former pour les mettre en oeuvre. Organiser et contrôler les interventions de maintenance préventive et les interventions de dépannage.
Ce poste est ouvert en externe aux titulaires de la fonction publique de catégorie A (IGE) et aux agents non titulaires détenteur minimum d?un Bac + 3. Le dossier de candidature (CV et LM avec lorsque cela est possible, le dernier entretien professionnel) sera adressé par voie électronique à : christine.djambazian@univ-amu.fr et
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| 6-39 | (2015-06-12) PhD positions at IMT Institute for Advanced Studies, Lucca, Italy UPCOMING DEADLINE - JUNE 29TH 2015 - 6PM ITALIAN TIME We are pleased to inform you about the IMT Institute for Advanced Studies Lucca's call for applications for PhD positions in the following specialized curricula:
Candidates can apply if they obtain their (minimum) 4-year undergraduate degree NO LATER than October 30th, 2015 DEADLINE: June 29th, 2015 at 6:00 pm CEST IMT Lucca (www.imtlucca.it) is a research university within the Italian public higher education system. IMT's research mission is characterized by the analysis and management of a plurality of economic, social, technological and cultural systems. Faculty carry out cutting edge methodological research to generate knowledge, to design projects to apply knowledge to resolve economic, industrial, social and cultural problems, and to transmit knowledge through highly-specialized graduate courses and seminars. Follow us on Facebook, Twitter, YouTube, LinkedIn.
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| 6-40 | (2015-06-16) One-year post-doc position open at Clemson University, SC, USA A one-year post-doc position open for this fall at Clemson University.
Candidate should have previous research experience and skills in one or more of virtual environments, 3DUI, experimental design and evaluation, intelligent virtual agents, and stereoscopic computer graphics.
The virtual environments group at Clemson is a dynamic research group with approximately 25 faculty, post-doc and student participants.
Applications should be emailed directly to
Larry F. Hodges, Ph.D.
Professor and Interim Chair of Human-Centered Computing: School of Computing
Faculty Scholar: School of Health Research
Faculty Fellow: Spiro Institute for Entrepreneurial Leadership Clemson University (South Carolina, USA) http://www.clemson.edu/~lfh and should include a C.V., statement of research interests, and the names of three references.
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| 6-41 | (2015-06-16) Postdoc / Spontaneous speech recognition and understanding at IMAG (Grenoble-F) Postdoc / Spontaneous speech recognition and understanding
You will work on a research and development project (CASSIE) involving academic and industrial stakeholders of spoken dialog and assistive technologies. The postdoc objective is to advance the state-of-the-art in spontaneous speech recognition and understanding. More precisely, one application of the project is a chatterbot which assists users to interact with a smart home environment. The heart of the research will be twofold: -improve/adapt the LIG ASR system to spontaneous speech -build probabilistic and/or deep-learning based models for spoken language understanding in the context of assistive technologies. For the experimental development and validation, the research will benefit from the fully-equipped LIG smart home (DOMUS). Start : Fall 2015 (flexible start from Sept to Dec 2015) Duration : 18 months (postdoc) Contact : Laurent.Besacier@imag.fr ; Benjamin.Lecouteux@imag.fr Profiles The applicants must hold a PhD degree in Computational Linguistics, Computing sciences or Cognitive Sciences preferably with experience in the fields of speech processing and/or natural language processing and/or machine learning. Good background in programming will also be required. Experience in using deep learning architectures, word embeddings is a plus.
He/she will also be involved in experimenting the technology with human participants being either French or English speakers. For this reason good English level is required as well as (possibly) a good command of French. Finally effective communication skills in English, both written and verbal are mandatory. Location Grenoble is a high-tech city with 4 universities. It is located at the heart of the Alps, in outstanding scientific and natural surroundings. It is 3h by train from Paris ; 2h from Geneva ; 1h from Lyon ; 2h from Torino and is less than 1h from Lyon international airport.
Research Group Website : http://getalp.imag.fr
Dates Interviews will be held in July 2015 (until September 2015 if needed). Meetings during Interspeech 2015 in Dresden (Germany) can be also organized.
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| 6-42 | (2015-06-17) Poste d'ingénieur d'étude CNRS, Sorbonne Nouvelle, Paris France Le LPP recrute un poste d'ingénieur d'étude CNRS en déploiement et développement d'application par le biais d'un concours externe BAP E : Informatique, statistique et calcul scientifique Il s?agit d?un concours externe CNRS, dont les détails sont consultables à cette adresse : http://www.dgdr.cnrs.fr/drhita/concoursita/
Mission : Activités :
Compétences :
** Savoir-faire opérationnels :
Contexte : Le poste est localisé au sein de l?université Sorbonne-Nouvelle mais l?ingénieur(e) recruté(e) sera amené(e) à se déplacer sur l?autre site (hôpital Européen Georges Pompidou).
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| 6-43 | (2015-07-01) A 3 year fully-funded PhD studentship at University of Sheffield, UK We have a 3 year fully-funded PhD studentship in the use of Spoken Language Dialogue Systems in Assistive Technology. Full details are at http://www.sheffield.ac.uk/dcs/resdegrees/funded_phds Closing date is 16th August 2015. Please circulate to suitable candidates.
Lecturer, Department of Computer Science, University of Sheffield Centre for Assistive Technology and Connected Healthcare (http://www.catch.org.uk/)
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| 6-44 | (2015-07-20) Post-Doctoral Researcher at the Advanced Digital Sciences Center, Singapore -------------------------------------------------------------
WHO: Post-Doctoral Researcher wanted
WHY: Massively Multilingual Automatic Speech Recognition WHERE: Advanced Digital Sciences Center, Singapore WHEN: September, 2015 Speech input permits people to find data (maps, search, contacts) by talking to their cell phones. Of the 6700 languages spoken in the world, speech input is available in 40. Why so few? The problem is data. Before it can be used, speech input software must learn a language by studying hundreds of hours of transcribed audio. In most languages, finding somebody who can transcribe hundreds of hours of audio (somebody who is computer literate, yet has time available to perform this task) is nearly impossible. Faced with this problem, we proposed a radical solution: solicit transcription from people who don't speak the language. Non-native listeners make many mistakes. By building a probabilistic model of their mistakes, we are able to infer correct transcriptions, and thus to train speech technology in any language.
We are seeking a post-doctoral researcher who can scale these algorithms to commercial relevance. Necessary qualifications include a Ph.D. in speech technology, natural language processing, information theory or machine learning. Objectives of the research include the derivation, implementation, testing, and publication of new algorithms that train state of the art speech input technologies from probabilistic transcription in the under-resourced languages of southeast Asia.
This is a 20-month post-doctoral research position at the Advanced Digital Sciences Center (ADSC) in Singapore. The post-doc will work most closely with Dr. Nancy Chen, A*STAR, Singapore, and with Dr. Preethi Jyothi and Prof. Mark Hasegawa-Johnson, University of Illinois at Urbana-Champaign. For inquiries contact probtranspostdoc@gmail.com.
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| 6-45 | (2015-07-21) PhD position at Telecom ParisTech, France PhD position in Feature Function Learning for Sentiment Analysis in speech interactions
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| 6-46 | (2015-08-04) PhD offer at IRISA, Lannion, France A PhD offer (3 year, beginning in October 2015) is available in EXPRESSION team at IRISA at Lannion on Characterisation and generation of expressivity for audiobooks creation. Competences: Computer science, software development (Python, Perl, C++), machine learning.
More details: http://www.irisa.fr/fr/offres-theses/caracterisation-generation-lexpressivite-construction-livres-audio
Damien Lolive
Associate Professor
IRISA - Team Expression
University of Rennes 1
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| 6-47 | (2015-08-04) Post doctoral position at IRISA, Lannion, France A post-doctoral position on Pronunciation variants modelling for speech synthesis is available at ranceIRISA, Lannion. You?ll find more details on :
Position available from novembre 2015.
Salary: depending on experience
Contacts: damien.lolive@irisa.fr and gwenole.lecorve@irisa.fr
Regards, Damien Lolive
Associate Professor
IRISA - Team Expression
University of Rennes 1
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| 6-48 | (2015-08-15) Internship opportunity at Orange Labs
Internship opportunity at Orange Labs Incomplete requests management in human/machine dialogue. Entity: Orange Labs. Department/Team: CRM&DA/NADIA. Duration: 6 months. Contact: Hatim KHOUZAIMI (hatim.khouzaimi@orange.com) About our team: Orange Labs is the Research and Development division of Orange, the leading telecommunication company in France. The mission of the CRM&DA department (Customer Relationship Management & Data Analytics) is to invent new solutions to improve the company’s interactions with its customers by using data analysis techniques. You will be part of NADIA (Natural DIAlogue interaction), which is one of the teams composing CRM&DA and whose mission is to develop and maintain a human/machine dialogue solution, which is already widely used by customers. Your mission: Thanks to the recent improvements in the Automatic Speech Recognition (ASR) technology, research in the field of Spoken Dialogue Systems (SDSs) has been very active during the late few years. The main challenge is to design user initiative dialogue strategies where the user can use natural language to utter complex requests, with a lot of information, as opposed to system initiative ones, where the request is entered chunk by chunk. However, due to the user’s unfamiliarity with the system and the noise induced by the ASR module, the request captured by the system is often incomplete, hence rejected. The objective of this internship is to figure out solutions to detect whether a request is incomplete and not incorrect and if it is the case, to extract partial information. This will be later used by the Dialogue Manager module to ask the user to add missing information. In addition, researchers in the field of SDSs are more and more interested in improving the system’s floor management capacities. Instead of adopting a walkie-talkie approach where each of the dialogue participants has to wait for the other to release the floor before processing his utterance and coming up with a response, incremental dialogue suggests that the listener processes the speaker’s utterance on the flow, hence being able to interrupt her. In this frame, the system processes growing partial requests, which is another application of the solutions that will be studied. Incremental dialogue capacities are crucial in the development of a new generation of dialogue systems, which are more human-like, more reactive and less error-prone. Essential functions: You will improve the current dialogue solution that is developed and maintained by our team. For that, you will have to interact with researchers in the field as well as developers. According to the quality of the solutions that will be proposed, your results can be published in scientific conferences or lead to a patent. Qualifications and skills: - MSc in Computer Science or a related field. - A specialisation in Natural Language Processing is very welcome. - Object-Oriented Programming. - Good background in applied mathematics: probability and statistics. - Good English level. - Interest in Human Machine Interaction and Artificial Intelligence. - Team work. If you want to be part of an innovative experience in a team of talented people with state of art skills in the field, please submit your resume by email to hatim.khouzaimi@orange.com.
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| 6-49 | (2015-08-18) 1 year engineer position at INRIA Bordeaux 1 year engineer position at INRIA Bordeaux
The French National Institute of Research in Computing and Automation (INRIA, http://www.inria.fr/), research centre of Bordeaux-Sud Ouest (http://www.inria.fr/centre/bordeaux) is recruiting an engineer/developer for 12 months, in the framework of a partnership between the GEOSTAT team (http://geostat.bordeaux.inria.fr) and BATVOICE TECHNOLOGIES Company. The field of activity is the pathologic speech processing. The successful candidate will take part in the valorisation of our research and to its transposition into a cutting-edge architecture. The aim is the emergence of a new technology in a multi-support medical application. ProfileEngineer/developer or Master2 or PhD with a good knowledge of :
MissionImplementation of speech processing algorithms, based on data captured by microphone. Based on algorithms specifications, the implementations should be in the form of class modules gathered in directly executable applications. The successful candidate will be supervised by an experienced researcher and work in close collaboration with a developer/integrator from BATVOICE. The nature of developed modules will be adapted to massive data treatment, in execution and in/out in console mode only. The development will include the treatment of every exception bug. LocationJoin a team of talented researchers an engineers at the cutting-edge of science, in the stimulating environment of the French National Institute of Research in Computing and Automation (INRIA) in the famous town of Bordeaux in the south-west of France. Collaborate with a technology company close to the Parisian dynamic eco-system, and working in the MedTech area. EvolutionBy the end of this mission, the selected candidate will have the opportunity to be recruited by Batvoice Technologies. SalaryDepending on profile, between 30 K? and 45 K? per year.
Starting date From September 1, 2015 and before November 30, 2015.
Contact Dr. Khalid DAOUDI, khalid.daoudi@inria.fr
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